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Project by Tingting Zhang and supervised by Michael Behrisch.
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A generic explainability architecture for explaining text machine learning models.
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Extension of text_explainability for sensitivity testing (robustness & fairness).
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Service that takes incoming query requests, performs them on the database and then publishes the result.
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The client updater service maintains a websocket connection with the frontend application and pushes ui updates through it.
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This Microservice runs machine learning algorithms on query results.
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